Preserving privacy of one-dimensional data streams by perturbing data with noise and using dynamic autocorrelation
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United States of America Patent
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Nov 23, 2010
Grant Date -
Aug 28, 2008
app pub date -
Feb 26, 2007
filing date -
Feb 26, 2007
priority date (Note) -
Expired
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Abstract
A method, information processing system, and computer readable medium are provided for preserving privacy of one-dimensional nonstationary data streams. The method includes receiving a one-dimensional nonstationary data stream. A set of first-moment statistical values are calculated, for a given instant of sub-space of time, for the data. The first moment statistical values include a principal component for the sub-space of time. The data is perturbed with noise along the principal component in proportion to the first-moment of statistical values so that at least part of a set of second-moment statistical values for the data is perturbed by the noise only within a predetermined variance.
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